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公开(公告)号：US20200294195A1
公开(公告)日：2020-09-17
申请号：US16888171
申请日：2020-05-29
Applicant: Snap Inc.
Inventor： Guohui Wang , Sumant Milind Hanumante , Ning Xu , Yuncheng Li
Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
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公开(公告)号：US11715223B2
公开(公告)日：2023-08-01
申请号：US17589459
申请日：2022-01-31
Applicant: Snap Inc.
Inventor： Kun Duan , Daniel Ron , Chongyang Ma , Ning Xu , Shenlong Wang , Sumant Milind Hanumante , Dhritiman Sagar
CPC classification number: G06T7/536 , G06T11/60 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084
Abstract: An active depth detection system can generate a depth map from an image and user interaction data, such as a pair of clicks. The active depth detection system can be implemented as a recurrent neural network that can receive the user interaction data as runtime inputs after training. The active depth detection system can store the generated depth map for further processing, such as image manipulation or real-world object detection.
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公开(公告)号：US10713754B1
公开(公告)日：2020-07-14
申请号：US15908461
申请日：2018-02-28
Applicant: Snap Inc.
Inventor： Guohui Wang , Sumant Milind Hanumante , Ning Xu , Yuncheng Li
Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
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公开(公告)号：US20220373796A1
公开(公告)日：2022-11-24
申请号：US17744880
申请日：2022-05-16
Applicant: Snap Inc.
Inventor： David Meisenholder , Dhritiman Sagar , Ilteris Canberk , Justin Wilder , Sumant Milind Hanumante , James Powderly
Abstract: Augmented reality experiences of a user wearing an electronic eyewear device are captured by at least one camera on a frame of the electronic eyewear device, the at least one camera having a field of view that is larger than a field of view of a display of the electronic eyewear device. An augmented reality feature or object is applied to the captured scene. A photo or video of the augmented reality scene is captured and a first portion of the captured photo or video is displayed in the display. The display is adjusted to display a second portion of the captured photo or video with the augmented reality features as the user moves the user's head to view the second portion of the captured photo or video. The captured photo or video may be transferred to another device for viewing the larger field of view augmented reality image.
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公开(公告)号：US11315219B2
公开(公告)日：2022-04-26
申请号：US16888171
申请日：2020-05-29
Applicant: Snap Inc.
Inventor： Guohui Wang , Sumant Milind Hanumante , Ning Xu , Yuncheng Li
Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
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Patent Agency Ranking
公开(公告)号：US20190069147A1
公开(公告)日：2019-02-28
申请号：US15967201
申请日：2018-04-30
Applicant: Snap Inc.
Inventor： Ebony James Charlton , Sumant Milind Hanumante , Zhou Ren , Dhritiman Sagar
Abstract: A venue system of a client device can submit a location request to a server, which returns multiple venues that, are near the client device. The client device can use one or more machine learning schemes (e.g., convolutional neural networks) to determine that the client device is located in one of specific venues of the possible venues. The venue system can further select imagery for presentation based on the venue selection. The presentation may be published as ephemeral message on a network platform.
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公开(公告)号：US20240331244A1
公开(公告)日：2024-10-03
申请号：US18741615
申请日：2024-06-12
Applicant: Snap Inc.
Inventor： Ebony James Charlton , Sumant Milind Hanumante , Zhou Ren , Dhritiman Sagar
IPC: G06T11/60 , G06F18/22 , G06F18/24 , G06V10/764 , G06V10/82 , G06V20/00 , G06V20/20 , G06V20/70 , H04L51/222 , H04L51/52 , H04W4/021 , H04W4/029 , H04W4/21 , H04W4/33 , H04W88/02
CPC classification number: G06T11/60 , G06F18/22 , G06F18/24 , G06V10/764 , G06V10/82 , G06V20/20 , G06V20/35 , G06V20/36 , G06V20/38 , G06V20/70 , H04L51/222 , H04W4/021 , H04W4/029 , H04W4/21 , H04W4/33 , H04L51/52 , H04W88/02
Abstract: A venue system of a client device can submit a location request to a server, which returns multiple venues that are near the client device. The client device can use one or more machine learning schemes (e.g., convolutional neural networks) to determine that the client device is located in one of specific venues of the possible venues. The venue system can further select imagery for presentation based on the venue selection. The presentation may be published as ephemeral message on a network platform.
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公开(公告)号：US20240062335A1
公开(公告)日：2024-02-22
申请号：US18499866
申请日：2023-11-01
Applicant: Snap Inc.
Inventor： Guohui Wang , Sumant Milind Hanumante , Ning Xu , Yuncheng Li
CPC classification number: G06T3/4046 , G06N3/08 , G06N3/04 , G06T1/20 , G06T11/60 , G06N3/063 , G06T2207/20081
Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
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公开(公告)号：US20220230277A1
公开(公告)日：2022-07-21
申请号：US17714764
申请日：2022-04-06
Applicant: Snap Inc.
Inventor： Guohui Wang , Sumant Milind Hanumante , Ning Xu , Yuncheng Li
Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
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公开(公告)号：US20220156956A1
公开(公告)日：2022-05-19
申请号：US17589459
申请日：2022-01-31
Applicant: Snap Inc.
Inventor： Kun Duan , Daniel Ron , Chongyang Ma , Ning Xu , Shenlong Wang , Sumant Milind Hanumante , Dhritiman Sagar
Abstract: An active depth detection system can generate a depth map from an image and user interaction data, such as a pair of clicks. The active depth detection system can be implemented as a recurrent neural network that can receive the user interaction data as runtime inputs after training. The active depth detection system can store the generated depth map for further processing, such as image manipulation or real-world object detection.
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